Information Systems (IS) is a multidisciplinary field that is growing in importance as the information technology revolution transforms the scale of data, the nature of products, the organization of work, and the way people interact. The Stern IS department has played an active leadership role in defining the fields of data science and business analytics, engaging in cross-disciplinary scholarship in computer science, economics, machine learning, marketing, management science and urban science. PhD students at Stern have the advantage of working with IS faculty who also maintain close research ties with the digital, banking, advertising and media industries, which gives our students access to unique “big data” for research as well as opportunities for experiential learning.
All applicants to the NYU Stern School of Business PhD Program are required to submit a complete application for admission. A complete application includes the online application, statement of purpose, optional essay, educational history and resume or CV, letters of recommendation, test scores, academic transcripts, and an application fee.
See How to Apply for admission requirements and instructions specific to this program.